DrugComboRanker specifications


Unique identifier OMICS_19478
Name DrugComboRanker
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes


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  • person_outline Stephen Wong <>

Publication for DrugComboRanker

DrugComboRanker in publications

PMCID: 5215607
PMID: 27863091
DOI: 10.1002/wsbm.1364

[…] to acquired drug resistance caused by mutations or other molecular alterations. drug resistance enhances the need for alternative cancer therapies, such as those based on combinations of drugs. drugcomboranker is the first computational method to predict combinations of already approved drugs de novo. it aims to repurpose drugs by combining high‐throughput cancer data with a set of approved […]

PMCID: 5116515
PMID: 27891522
DOI: 10.1155/2016/8518945

[…] the mechanism underlying a biological pathway [] and the biology response of a cell to a certain perturbation [, ]. according to different hypotheses, several prediction models have been built., drugcomboranker was built based on the hypothesis that effective drug combinations can inhibit major modules of disease signaling networks simultaneously and drugs often have multiple active target […]

PMCID: 5025072
PMID: 27632168
DOI: 10.1371/journal.pone.0162407

[…] even if some efforts towards their prediction have been made []. in order to improve the integration of knowledge sources about drug behaviors, huang et al. have proposed an evaluation tool, called drugcomboranker []. in this study, the authors developed a synergistic score for drug combinations on the basis of the topological relatedness of drug targets in signaling networks, semantic […]

PMCID: 4808797
PMID: 26751490
DOI: 10.3390/biom6010003

[…] approaches have been developed to facilitate the screening of small molecule drugs and to identify drug combinations. huang and colleagues developed a systematic computational tool named drugcomboranker that can be used to prioritize synergistic drug combinations and to better understand their mechanisms of action. after disease-specific signaling networks were identified, drug […]

PMCID: 4348553
PMID: 25741385
DOI: 10.1186/s13321-015-0055-9

[…] with similar transcriptional responses []. they then built disease-signaling networks highlighting defective signaling modules based on patient genomic profiles and protein interaction data. the drugcomboranker algorithm ranked potential drug combinations by selecting drugs with high overlap in the disease network, affecting multiple key signaling modules. in a similar approach, pang et al. […]

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DrugComboRanker institution(s)
Department of Information Science, School of Mathematical Sciences and LMAM, Peking University, Beijing, China; NCI Center for Modeling Cancer Development, Department of Systems Medicine and Bioengineering, Houston Methodist Hospital Research Institute, Houston, TX, USA; Weill Cornell Medical College of Cornell University, Houston, TX, USA
DrugComboRanker funding source(s)
Supported by CPRIT (RP110532) and NCI (U54 CA149196); Ting Tsung and Wei Fong Chao Foundation and John S Dunn Foundation.

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